The International Cognitive Ability Resource

国际认知能力资源

基本信息

  • 批准号:
    243090733
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    德国
  • 项目类别:
    Research Grants
  • 财政年份:
    2014
  • 资助国家:
    德国
  • 起止时间:
    2013-12-31 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

The International Cognitive Ability Resource (ICAR), a public-domain and open-source tool, is to provide a large and dynamic bank of cognitive ability measures for use in a wide variety of applications. By encouraging the use, revision, and ongoing development of these measures among qualified research groups around the world, the ICAR will further understanding about the holistic structure of cognitive abilities as well as the nature of associations between cognitive ability constructs and other variables. ICAR will build heavily on automatic item generation techniques which yield items with predictable psychometric qualities. The item generators developed for the ICAR will be distributed as functions in psychometrically-informed, easily-implemented, open-source software. In addition, suitable statistical methodology will be developed and sub-projects will use ICAR items to explore specific research questions. The impact of this international collaboration will be the creation of a platform for more standardized assessment and more rapid scientific progress among the disciplines and research groups around the world which use cognitive ability measures to diagnose impairments, evaluate the correlates of various abilities, and predict important life outcomes.
国际认知能力资源(ICAR)是一个公共领域和开源工具,旨在提供一个庞大而动态的认知能力测量数据库,供各种应用程序使用。 通过鼓励世界各地合格的研究小组使用,修订和持续发展这些措施,ICAR将进一步了解认知能力的整体结构以及认知能力结构与其他变量之间的关联性质。ICAR将在很大程度上建立在自动项目生成技术,产生可预测的心理品质的项目。为ICAR开发的项目生成器将作为心理测量信息,易于实现的开源软件中的功能分发。此外,将制定适当的统计方法,分项目将使用ICAR项目探讨具体的研究问题。这项国际合作的影响将是创建一个平台,以便在世界各地的学科和研究小组之间进行更标准化的评估和更快速的科学进步,这些学科和研究小组使用认知能力测量来诊断障碍,评估各种能力的相关性,并预测重要的生活结果。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Task difficulty prediction of figural analogies
  • DOI:
    10.1016/j.intell.2016.03.001
  • 发表时间:
    2016-05-01
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Blum, Diego;Holling, Heinz;Forthmann, Boris
  • 通讯作者:
    Forthmann, Boris
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Professor Dr. Philipp Doebler其他文献

Professor Dr. Philipp Doebler的其他文献

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{{ truncateString('Professor Dr. Philipp Doebler', 18)}}的其他基金

Educational Progress of Children at Risk of Low Academic Achievement: A Psychometrically Informed Investigation of Educational Outcomes and Resilience Factors with Longitudinal Data of the National Educational Panel Study
面临学业成绩低下风险的儿童的教育进展:利用国家教育小组研究的纵向数据对教育成果和弹性因素进行心理测量调查
  • 批准号:
    390666287
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Infrastructure Priority Programmes
Projective item response theory models for count data and their application as interpretable approximations to black box models of machine learning
计数数据的投影项目响应理论模型及其作为机器学习黑盒模型的可解释近似的应用
  • 批准号:
    463078117
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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